半干旱气候条件下光伏发电非线性经验模型的实验验证。以摩洛哥贝宁里尔为例

Hajjaj Charaf, Bouaichi Abdellatif, A. M. Ahmed, Benhmida Mohammadi, Bennouna Amin, G. Abdellatif, Zitouni Houssain, I. Badr
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引用次数: 2

摘要

目前,世界范围内对大型光伏发电项目的投资正在增加,尤其是在中东和北非地区。为了鼓励投资者安装更多的光伏发电能力,重要的是要在生产方面提供保证,特别是在恶劣和半干旱气候下。因此,需要对这种条件下的光伏性能进行建模,以准确预测电站的发电量。本研究的目的是采用非线性经验模型来模拟半干旱气候下的光伏发电。新开发的模型将光伏组件的输出功率表示为平面内辐照度和环境温度的函数,以及通过拟合室外测量数据确定的一些半经验系数。该模型已在绿色能源公园研究设施的多晶模块地面上进行了为期一年的高精度测量数据验证。研究结果表明,该模型能够较好地预测半干旱气候条件下的光伏发电输出功率,与地面测量值相比,每小时nRMSE为3.1%。
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Experimental Validation of Non-Linear Empirical Model to Simulate the Photovoltaic Production Under Semi-Arid Climate. Case Study of Benguerir, Morocco
Nowadays, the investments in large-scale photovoltaic power projects is increasing around the world and more especially in the MENA region. To encourage investors to install more PV capacities, it's important to provide guaranties on the benefits in term of production especially in harsh and semi-arid climates. For this reason, modeling of photovoltaic performance in such conditions is required to predict accurately the plants energy yield. The aim of this study is to adapt a non-linear empirical model to simulate the photovoltaic production under semi-arid climate. The new developed model represents the output power of the PV module as a function of in-plane irradiance and ambient temperature, and a number of semi-empirical coefficients determined by fitting the outdoor measured data. The model has been validated using one year of high accurate measured data at ground level of a polycrystalline module at Green Energy Park research facility. Results of this study show that the proposed model is a good approach to predict the output photovoltaic power under semi-arid climate with an hourly nRMSE of 3.1% in comparison to ground measurements.
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